cp.nvim/scrapers/models.py
Barrett Ruth 4e709c8470
feat(race): add supports_countdown to ContestListResult
Problem: `:CP race` on platforms without future contests (CSES, USACO)
wastes time fetching the full contest list only to discover there is
no `start_time`. The error message is also uninformative.

Solution: Add `supports_countdown` bool to `ContestListResult` (default
`True`). CSES and USACO set it to `False`. Cache the flag per-platform
so subsequent calls skip the fetch entirely. `race.lua` checks the
cached value first, then the scraper result, and shows
`"<Platform> does not support :CP race"` instead of a generic error.
2026-03-06 18:01:08 -05:00

89 lines
1.8 KiB
Python

from pydantic import BaseModel, ConfigDict, Field
class TestCase(BaseModel):
input: str
expected: str
model_config = ConfigDict(extra="forbid")
class CombinedTest(BaseModel):
input: str
expected: str
model_config = ConfigDict(extra="forbid")
class ProblemSummary(BaseModel):
id: str
name: str
model_config = ConfigDict(extra="forbid")
class ContestSummary(BaseModel):
id: str
name: str
display_name: str | None = None
start_time: int | None = None
model_config = ConfigDict(extra="forbid")
class ScrapingResult(BaseModel):
success: bool
error: str
model_config = ConfigDict(extra="forbid")
class MetadataResult(ScrapingResult):
contest_id: str = ""
problems: list[ProblemSummary] = Field(default_factory=list)
url: str
contest_url: str = ""
standings_url: str = ""
model_config = ConfigDict(extra="forbid")
class ContestListResult(ScrapingResult):
contests: list[ContestSummary] = Field(default_factory=list)
supports_countdown: bool = True
model_config = ConfigDict(extra="forbid")
class TestsResult(ScrapingResult):
problem_id: str
combined: CombinedTest
tests: list[TestCase] = Field(default_factory=list)
timeout_ms: int
memory_mb: float
interactive: bool = False
multi_test: bool = False
model_config = ConfigDict(extra="forbid")
class LoginResult(ScrapingResult):
credentials: dict[str, str] = Field(default_factory=dict)
model_config = ConfigDict(extra="forbid")
class SubmitResult(ScrapingResult):
submission_id: str = ""
verdict: str = ""
model_config = ConfigDict(extra="forbid")
class ScraperConfig(BaseModel):
timeout_seconds: int = 30
max_retries: int = 3
backoff_base: float = 2.0
rate_limit_delay: float = 1.0
model_config = ConfigDict(extra="forbid")